Multimedia Content Filtering via User Profile Segmentation
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Solution Overview
Problem
The expansion of multimedia content production is hindered by inefficiencies in content identification and access, particularly in determining appropriateness for various users, such as families with specific moral preferences.
Innovation Solution
A system comprising a server and local device with processors, memory, and input/output devices, utilizing an encyclopedic database, user library content file, and similarity file to search, filter, and access multimedia content based on user settings, ensuring content appropriateness through personalized filtering and recommendation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If comprehensive multimedia content is made available, then content variety increases, but content appropriateness for specific users deteriorates
Solution Approach 1:
The patent applies local quality by creating user-specific content profiles that tailor the content presentation to individual users. Each user receives a customized view of the multimedia content based on their personal settings, age, and preferences, while the overall content library remains comprehensive and unchanged.
Solution Approach 2:
The patent introduces an intermediary filtering system that sits between the comprehensive content library and the user. This intermediary evaluates content against user profiles and personal settings to determine appropriateness, allowing the system to maintain full content variety while ensuring each user sees only appropriate content.
2Object-affected harmful factors
If detailed content filtering is implemented, then content appropriateness improves, but system complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-establishing user profiles with personal settings before content access. The system prepares filtering criteria in advance based on user age, preferences, and parental controls, so that when content is requested, the filtering decision can be made quickly without complex real-time analysis.
Solution Approach 2:
The patent segments the filtering system into distinct components: user profile management, content evaluation criteria, and filtering logic. This segmentation allows each component to be independently configured and maintained, reducing overall system complexity while enabling detailed content appropriateness assessment.
3Adaptability or versatility
If extensive content libraries are maintained, then content selection improves, but user navigation difficulty increases
Solution Approach 1:
The patent applies local quality by presenting customized content recommendations to each user based on their profile and preferences. Instead of showing all available content, the system curates a personalized subset that matches the user's interests and appropriateness criteria, making navigation easier while maintaining extensive underlying content libraries.
Solution Approach 2:
The patent implements self-service by enabling users to configure their own profiles, set personal settings, and define filtering preferences. This allows users to actively shape their content experience, reducing the burden on the system to predict their needs while improving navigation through personalized content organization.
Data Source
AI summary
Methods, systems, and subsystems for identifying and accessing multimedia content are provided. One system for identifying and accessing multimedia content from a network includes an encyclopedic database, a user library content file having data distilled from the encyclopedic database, a user local settings file having personal profile settings relating to filtering content, and a similarity file having data associating together the multimedia content. A local device is in data communication with the user library content file, the user local settings file, and the similarity file. Instructions stored on computer-readable media perform steps (when executed by a processor) for allowing: (a) the user library content file to be searched to obtain search results, the search results having been filtered using the personal profile settings; and (b) the similarity file to be accessed to obtain supplementary search results, the supplementary search results having been filtered using the personal profile settings.